We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We discuss the problems associated with evaluating unsupervised learners and report our initial evaluation experiments.
Citation:
J. Zhu, A. L. Gon?alves, V. S. Uren, E. Motta, R. Pacheco, "Mining Web Data for Competency Management," wi, pp.94-100, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005